A self-decision-making system for pipeline leakage emergency command based on monitoring network

Abstract

The invention discloses a pipeline leakage emergency instruction self-decision making system based on a monitoring network. The pipeline leakage emergency instruction self-decision making system based on the monitoring network comprises a monitoring terminal, a collector and a server, wherein the monitoring terminal comprises a leakage monitor, a flow velocity monitor, a flow rate monitor, an air condition monitor and an oil film thickness monitor; the collector is used for connecting with each of the monitors of the monitoring terminal, collecting an oil liquid leakage parameter, an environmental parameter and an oil film thickness parameter; the server is used for importing the oil liquid leakage parameter, the environmental parameter and the oil film thickness parameter into an improved Fay model, an improved Navy model, a Fingas evaporation equation and a Lagergren secondary adsorption speed equation for calculation, so that the diffusion parameter of the oil film is obtained.

Description

technical field [0001] The invention relates to the field of pipeline leakage emergency treatment, in particular to a pipeline leakage emergency command self-decision system based on a monitoring network. Background technique [0002] The national cross-regional pipeline transportation network has become the most important channel for energy transmission in my country, playing an irreplaceable supporting role. However, tens of thousands of kilometers of long-distance pipelines inevitably need to cross rivers. A large number of river crossing points of pipelines and frequent leakages pose a significant risk of environmental pollution to water bodies, making pipeline emergency work face great challenges. In the state of emergency, making fast, reasonable and effective emergency decision-making is the key to the success of emergency rescue. Successful emergency decision-making includes reasonable judgment of leakage and oil film thickness, timely tracking and reporting of oil...

AI Technical Summary

Problems solved by technology

[0003] However, the existing emergency decision-making for pipeline leakage basically relies on subjective judgment and manual decision-making, which cannot guarantee the timeliness and accuracy of decision-making, resulting in delays in accident rescue and serious consequences.

Not only that, leakage accidents are often very complicated, hydrological conditions and leakage parameters change rapidly, and the required decision-making information is adjusted and updated in a timely manner, with a large amount of information. trustworthiness of decision

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